04 / Open learning workspace
Learning AI/ML Engineering
A production-minded monorepo documenting the path from Python foundations to APIs, ML systems, RAG, deployment, and monitoring.
Problem
Learning AI engineering is more useful when the path is reproducible.
Approach
Document foundations through APIs, ML systems, RAG, deployment, and monitoring.
Evidence
Public learning workspace with an engineering-first progression.
Stack
Python · FastAPI · PyTorch · RAG · MLOps